perceptron learning algo, max margin classifiers

N/A

Perceptron Learning; Maximum Margin Classifiers 13 3 Perceptron Learning; Maximum Margin Classifiers Perceptron Algorithm (cont’d) Recall: – linear decision fn f (x) = w · x (for simplicity, no ↵) – decision boundary {x : f (x) = 0} (a hyperplane through the origin) – sample points X1 , X2 , . . . , Xn 2 Rd ; class labels y1 , . . . , yn = ±1 – goal: find weights w such that yi Xi · w 0 X – goal, revised: find w that minimizes R(w) =…

related reading

• 02.pdfpeople.eecs.berkeley.edu
• soft margin svmspeople.eecs.berkeley.edu
• CS231n Deep Learning for Computer Visioncs231n.github.io
• Pen and Paper Exercises in Machine Learningarxiv.org
• Neural networks and deep learningneuralnetworksanddeeplearning.com
• Why Momentum Really Worksdistill.pub
• 6.036_notes.pdfphillipi.github.io
• Support vector machine - Wikipediaen.wikipedia.org
• deeplearningbook.org/contents/ml.htmldeeplearningbook.org
• Lecture 7 - Deep Learning Foundations: Neural Tangent Kernelsyoutube.com
• kernelspeople.eecs.berkeley.edu
• Perceptron - Wikipediaen.wikipedia.org